Project description:Human cancer cell lines constitute useful models to model the primary disease and many relevant findings in tumor biology have been originated from them since the first immortalized cell line (HeLa) was obtained. The easy experimental intervention, the purity of the transformed cells and their versatility to undergo high-throughput screenings represent advantageous features of the established cancer cell lines. Herein, we have obtained the DNA methylation profiles of 210 cell lines derived from hematological malignancies utilizing comprehensive DNA methylation microarrays that interrogate more than 850,000 and 285,000 CpG sites from human and mouse genomes, respectively.
Project description:Methylation profiling was performed on DNA samples matched to the RNA samples included in the NIH Human Pluripotent Stem Cell Database (Series GSE32923). Nineteen undifferentiated human embryonic stem cell lines and 5 human induced pluripotent stem cells were analyzed. Expanded descriptions of methods used are available at: http://stemcelldb.nih.gov.
Project description:Methylation profiling was performed on DNA samples matched to the RNA samples included in the NIH Human Pluripotent Stem Cell Database (Series GSE32923). Nineteen undifferentiated human embryonic stem cell lines and 5 human induced pluripotent stem cells were analyzed. Expanded descriptions of methods used are available at: http://stemcelldb.nih.gov. 24 samples: 19 human ESC (UNDIFFerentiated) and 5 human iPSC (UNDIFFerentiated) lines
Project description:Comprehensive genetic analyses including whole-exome sequencing, targeted sequencing, and whole-genome sequencing of the human genome and the Epstein-Barr virus (EBV) genome were performed to reveal the molecular pathogenesis of EBV-associated hematological malignancy.
Project description:This SuperSeries is composed of the following subset Series: GSE32923: The NIH Human Pluripotent Stem Cell Database (Agilent, mRNA) GSE33789: The NIH Human Pluripotent Stem Cell Database (Affymetrix, mRNA) GSE34199: The NIH Human Pluripotent Stem Cell Database (Agilent, miRNA) GSE34869: The NIH Human Pluripotent Stem Cell Database (Illumina, methylation) GSE35157: The NIH Human Pluripotent Stem Cell Database (Illumina, snp) GSE35735: The NIH Human Pluripotent Stem Cell Database (Agilent, cgh) Refer to individual Series
Project description:Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers. Microarray gene expression analysis was performed on hematological malignancies of different origins and their healthy hematopoietic counterparts as well as on healthy non-hematopoietic cell types from organs that are often targeted in Graft-versus-Host Disease (166 samples in total). Various non-hematopoietic cell types were cultured in the presence of IFN-γ or T-cell culture supernatant to allow gene expression analysis under inflammatory conditions. Malignant and healthy hematopoietic cells were isolated by flow cytometry based on expression of specific surface markers and healthy non-hematopoietic cell types were isolated or cultured from tissue biopsies or surgically removed specimen. Various non-hematopoietic cell types were in vitro cultured for 4 days in the presence of IFN-γ or T-cell culture supernatant to mimic inflammation. The dataset allows comparison of gene expression between hematological malignancies and healthy non-hematopoietic cell types to estimate efficacy and toxicity of immunotherapeutic targets for hematological malignancies. Total RNA was isolated from (malignant) hematopoietic cells isolated by flow cytometry based on expression of specific surface markers and from healthy non-hematopoietic cell types isolated or cultured from tissue biopsies or surgically removed specimen. From various non-hematopoietic cell types, total RNA was also isolated after 4 days of in vitro culture in the presence of IFN-γ or T-cell culture supernatant.
Project description:We tested the inhibitory effects of hydroalcoholic extracts from grape leaves in breast cancer malignancy using MCF-7 and SKBR-3 cell lines.